Data Center Power Test Architect

at Nvidia
USD 168,000-322,000 per year
SENIOR
✅ On-site

Tech Stack

AI @ 4 CI/CD @ 4 Communication @ 1 Compliance @ 6 Debugging @ 4 DevOps GPU @ 6 HPC Jenkins @ 4 Kubernetes @ 4 Python @ 4 Security @ 6 System Architecture @ 7

Details

NVIDIA is seeking a Senior Test Architect to join its Enterprise Software QA team and drive the design, construction, optimization, and testing of supercomputers and data center offerings. The role focuses on quality and reliability across NVIDIA's next-generation data center software and firmware stack for AI, HPC, and cloud-scale systems.

Responsibilities

  • Define end-to-end test architecture and validation strategies for power features across NVIDIA platforms, from pre-silicon simulation and emulation through post-silicon bring-up and production readiness.
  • Develop test plans aligned with product deliverables and customer use cases, influence design decisions to improve testability, and ensure comprehensive test coverage.
  • Design and implement modular, reusable test frameworks and automation harnesses for functional, integration, stress, regression, power, security, and performance testing.
  • Scale test infrastructure across hundreds of systems in parallel.
  • Define quality KPIs, including code coverage, system uptime, bug escape rate, and validation completeness, and establish dashboards and reporting mechanisms.
  • Lead root-cause investigations spanning firmware, software, and hardware layers; develop and document debugging methodologies and tools.
  • Partner with DevOps and infrastructure teams to improve lab automation and CI/CD pipelines, including nightly and pre-merge continuous testing workflows.
  • Validate real-world use cases, customer configurations, and production scenarios, and contribute to release gates and firmware sign-off criteria.
  • Mentor software QA engineers and junior test developers while promoting quality, innovation, and continuous learning.
  • Evaluate and adopt emerging technologies, embedded validation practices, test automation frameworks, and industry standards.
  • Use AI-powered tools and copilots to accelerate test development, automate validation workflows, and streamline debugging and root-cause analysis.

Requirements

  • Bachelor's, master's, or Ph.D. degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent experience.
  • More than 10 years of experience in data center power enablement related to software or firmware testing, with a focus on telemetry and power efficiency across systems.
  • Strong knowledge of system architecture, power shelves, baseboard management, hardware and software power features, industry power standards, system interfaces, and embedded controllers.
  • Experience designing test frameworks and infrastructure using Python, C++, or similar languages.
  • Expertise with platform standards for security, telemetry, and manageability, including NIST, DMTF, and OCP.
  • Hands-on experience with server platforms, networks, storage, cluster configuration, and debugging.
  • Background in platform telemetry and data center node lifecycle management and support, including CPU and GPU workloads.
  • Proficiency in scripting languages such as Python.
  • Experience administering, operating, and configuring Kubernetes and Envoy.
  • Experience with CI/CD tools such as GitLab and Jenkins, as well as the GitOps model.
  • Experience with lab automation, simulation, hardware-in-the-loop testing, and CI/CD pipelines.
  • Strong debugging, problem-solving, and analytical skills.
  • Excellent communication and collaboration skills; experience working in globally distributed teams is a plus.

Preferred Qualifications

  • Experience with NVIDIA platforms such as DGX, HGX, and Grace Hopper systems.
  • Exposure to security validation, FIPS or BMC security compliance, and thermal or power validation.
  • Previous experience as a test architect or technical lead for large-scale data center enablement or firmware validation programs.
  • Contributions to open-source testing tools or frameworks.
  • Strong knowledge of cloud-scale validation, infrastructure automation, or virtualization.
  • Experience using AI tools to create agents, design test plans, identify test gaps, automate workflows, and perform failure analysis.

Compensation and Benefits

  • Base salary for Level 4: USD 168,000–270,250 per year.
  • Base salary for Level 5: USD 200,000–322,000 per year.
  • Eligibility for equity and benefits.
  • Full-time position.
  • NVIDIA is an equal opportunity employer.

More jobs at Nvidia

Similar jobs